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add paraformer online opt infer code

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haoneng.lhn 2023-09-14 12:23:40 +08:00
parent 5f088a67cd
commit 14d0ba3a10
2 changed files with 13 additions and 7 deletions
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4
funasr/models/encoder/sanm_encoder.py
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@ -945,11 +945,11 @@ class SANMEncoderChunkOpt(AbsEncoder):
for layer_idx, encoder_layer in enumerate(self.encoders):
encoder_outs = encoder_layer.forward_chunk(xs_pad, new_cache[layer_idx+len(self.encoders0)], cache["chunk_size"], cache["encoder_chunk_look_back"])
xs_pad, new_cache[layer_idx+1] = encoder_outs[0], encoder_outs[1]
xs_pad, new_cache[layer_idx+len(self.encoders0)] = encoder_outs[0], encoder_outs[1]
if self.normalize_before:
xs_pad = self.after_norm(xs_pad)
if cache["encoder_chunk_look_back"] > 0:
if cache["encoder_chunk_look_back"] > 0 or cache["encoder_chunk_look_back"] == -1:
cache["opt"] = new_cache
return xs_pad, ilens, None

16
funasr/modules/attention.py
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@ -471,15 +471,21 @@ class MultiHeadedAttentionSANM(nn.Module):
"""
q_h, k_h, v_h, v = self.forward_qkv(x)
if chunk_size is not None and look_back > 0:
if chunk_size is not None and look_back > 0 or look_back == -1:
if cache is not None:
k_h_stride = k_h[:, :, :-(chunk_size[2]), :]
v_h_stride = v_h[:, :, :-(chunk_size[2]), :]
k_h = torch.cat((cache["k"], k_h), dim=2)
v_h = torch.cat((cache["v"], v_h), dim=2)
cache["k"] = k_h[:, :, -(look_back * chunk_size[1]):, :]
cache["v"] = v_h[:, :, -(look_back * chunk_size[1]):, :]
cache["k"] = torch.cat((cache["k"], k_h_stride), dim=2)
cache["v"] = torch.cat((cache["v"], v_h_stride), dim=2)
if look_back != -1:
cache["k"] = cache["k"][:, :, -(look_back * chunk_size[1]):, :]
cache["v"] = cache["v"][:, :, -(look_back * chunk_size[1]):, :]
else:
cache_tmp = {"k": k_h[:, :, -(look_back * chunk_size[1]):, :],
"v": v_h[:, :, -(look_back * chunk_size[1]):, :]}
cache_tmp = {"k": k_h[:, :, :-(chunk_size[2]), :],
"v": v_h[:, :, :-(chunk_size[2]), :]}
cache = cache_tmp
fsmn_memory = self.forward_fsmn(v, None)
q_h = q_h * self.d_k ** (-0.5)